Neural Network Builder The neural network class is in NeuralNet.py. It allows to easily create fully connected feedforward networks of any size allowed by available memory. It uses numpy arrays as the primary data structure for the weight matrices. With this class you can create deep neural networks very quickly (see some of the example files to see how to use it).
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Release files for netbuilder 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| netbuilder-0.2.3.tar.gz | 15.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| netbuilder-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.0 kB
Release files / netbuilder-0.2.3.tar.gz
| Download URL | netbuilder-0.2.3.tar.gz |
|---|---|
| Size | 15.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
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Release files / netbuilder-0.2.3-py3-none-any.whl
| Download URL | netbuilder-0.2.3-py3-none-any.whl |
|---|---|
| Size | 19.1 kB |
| Tags | Python 3 |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
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